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abstract

Automatic Recognition of Hygiene Activities and Personalized Interventions for Chronic Care

Published:05 March 2018Publication History

ABSTRACT

The number of individuals living with chronic conditions continues to rise. As a result, a significant emphasis has been placed on both improving their quality of life as well as decreasing the cost and burden of caring for them. One particularly promising avenue for achieving this is the use of wearable devices, as they have become both affordable and reliable in recognizing fitness activities. However, while the existing algorithms reliably recognize physically intensive activities (e.g., walking vs. swimming), they fail to recognize personal hygiene actives that have more subtle differences (e.g., brushing teeth vs. washing hands). This research aims to develop novel features and intelligent, multi-stage algorithms that can reliably recognize such personal hygiene activities for chronic care. Additionally, we aim to further supplement this activity recognition with personalized interventions that enable individuals to manage their own personal health.

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  1. Automatic Recognition of Hygiene Activities and Personalized Interventions for Chronic Care

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        cover image ACM Conferences
        IUI '18: Proceedings of the 23rd International Conference on Intelligent User Interfaces
        March 2018
        698 pages
        ISBN:9781450349451
        DOI:10.1145/3172944

        Copyright © 2018 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 5 March 2018

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        • abstract

        Acceptance Rates

        IUI '18 Paper Acceptance Rate43of299submissions,14%Overall Acceptance Rate746of2,811submissions,27%

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